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README.md
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- [Paper](paper link) titled "Panorama Geometry Estimation using Single-Step Diffusion Models"
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## Model Details
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- **Developed by:** [Vukasin Bozic](https://vulus98.github.io/), [Isidora Slavkovic](linkedin.com/in/isidora-slavkovic), [Dominik Narnhofer](https://scholar.google.com/citations?user=tFx8AhkAAAAJ&hl=en), [Nando Metzger](https://nandometzger.github.io/), [Denis Rozumny](https://rozumden.github.io/), [Konrad Schindler](https://scholar.google.com/citations?user=FZuNgqIAAAAJ), [Nikolai Kalischek](https://scholar.google.com/citations?user=XwzlnZoAAAAJ&hl=de).
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- **Model type:** Generative latent diffusion-based one-step scale-invariant monocular panoramic depth estimation from a single ERP image.
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- **License:** [CreativeML OpenRAIL License](LICENSE).
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- **Model Description:** This model can be used to generate an estimated depth map of a panoramic input image.
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- [Paper](paper link) titled "Panorama Geometry Estimation using Single-Step Diffusion Models"
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## Model Details
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- **Developed by:** [Vukasin Bozic](https://vulus98.github.io/), [Isidora Slavkovic](https://linkedin.com/in/isidora-slavkovic), [Dominik Narnhofer](https://scholar.google.com/citations?user=tFx8AhkAAAAJ&hl=en), [Nando Metzger](https://nandometzger.github.io/), [Denis Rozumny](https://rozumden.github.io/), [Konrad Schindler](https://scholar.google.com/citations?user=FZuNgqIAAAAJ), [Nikolai Kalischek](https://scholar.google.com/citations?user=XwzlnZoAAAAJ&hl=de).
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- **Model type:** Generative latent diffusion-based one-step scale-invariant monocular panoramic depth estimation from a single ERP image.
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- **License:** [CreativeML OpenRAIL License](LICENSE).
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- **Model Description:** This model can be used to generate an estimated depth map of a panoramic input image.
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